• 한국정밀공학회지
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• 제18권2호
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• pp.146-151
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• 2001

The effects of slant interface in the hybrid specimen on the dynamic crack propagation behavior have been investigated using dynamic photoelasticity. The dynamic photoelasticity with the aid of Cranz-Shardin type high speed camera system is utilized to record the dynamic stress field around the dynamically propagating inclined interface crack tip in the three point bending specimens. The dynamic load is applied by a hammer dropped from 0.08m high without initial velocity. The dynamic crack propagation velocities and dynamic stresses field around the interface crack tips are investigated. Theoretical dynamic isochromatic fringe loops are compared with the experimental reults. It is interesting to note that the crack propagating velocity becomes comparable to the Rayleigh wave speed of the soft material of a specimen when slant angle decreases.

• Design & Manufacturing
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• 제14권4호
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• pp.71-77
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• 2020

Various manufacturing technologies, including over-molding and insert-injection molding, are used to produce hybrid plastics and metals. However, there are disadvantages to these technologies, as they require several steps in manufacturing and are limited to what can be reasonably achieved within the complexities of part geometry. This study aims to determine a practical approach for producing metal/plastic hybrid components by combining plastic injection molding and metal die casting to create a new hybrid metal/plastic molding process. The integrated metal/plastic hybrid injection molding process developed in this study uses the proven method of multi-component technology as a basis to combine plastic injection molding with metal die casting into one integrated process. In this study, the electrical conductivity and ampacity were verified to qualify the new process for the production of parts used in electronic devices. The electrical conductivity was measured, contacting both sides of the test sample with constant pressure, and the resistivity was measured using a micro ohmmeter. Also, the specific conductivity was subsequently calculated from the resistivity and contact surface of the conductor path. The ampacity defines the maximum amount of current a conductive path can carry before sustaining immediate or progressive deterioration. The manufactured hybrid multi-components were loaded with increasing currents, while the temperature was recorded with an infrared camera. To compare the measured infrared images, an electro-thermal simulation was conducted using commercial CAE software to predict the maximum temperature of the power loaded parts. Overall, during the injection molding process, it was demonstrated that multifunctional parts can be produced for electric and electronic applications.

• 한국산업융합학회 논문집
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• 제9권4호
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• pp.263-268
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• 2006

This paper presents a real-time verification system by extracting a features of multimodal biometrics using hybrid method, which is combined the moment balance and the independent component analysis(ICA). The moment balance is applied to reduce the computation loads by extracting the validity signal due to exclude the needless backgrounds of multimodal biometrics. ICA is also applied to increase the verification performance by removing the overlapping signals due to extract the statistically independent basis of signals. Multimodal biometrics are used both the faces and the fingerprints which are acquired by Web camera and acquisition device, respectively. The proposed system has been applied to the fusion problems of 48 faces and 48 fingerprints(24 persons * 2 scenes) of 320*240 pixels, respectively. The experimental results show that the proposed system has a superior verification performances(speed, rate).

• 로봇학회논문지
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• 제3권1호
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• pp.33-41
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• 2008

Based on object recognition technology, we present a new global localization method for robot navigation. For doing this, we model any indoor environment using the following visual cues with a stereo camera; view-based image features for object recognition and those 3D positions for object pose estimation. Also, we use the depth information at the horizontal centerline in image where optical axis passes through, which is similar to the data of the 2D laser range finder. Therefore, we can build a hybrid local node for a topological map that is composed of an indoor environment metric map and an object location map. Based on such modeling, we suggest a coarse-to-fine strategy for estimating the global localization of a mobile robot. The coarse pose is obtained by means of object recognition and SVD based least-squares fitting, and then its refined pose is estimated with a particle filtering algorithm. With real experiments, we show that the proposed method can be an effective vision- based global localization algorithm.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.36.5-36
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• 2001

Localization is one of the key problems in the navigation of autonomous mobile robots. The probabilistic Markov localization approaches offer a good mathematical framework to deal with the uncertainty of environment and sensor readings but their use for realtime applications is limited by their computational complexity. This paper aims to reduce the high computational cost associated with the probabilistic Markov localization algorithm. We propose a hybrid landmark-based localization method combining triangulation and probabilistic approaches, which can efficiently update position probability grid, while the probabilistic framework allows to make use of any available sensor data to refine robot´s belief about its current location. The simulation results show the effectiveness and robustness of the method.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2012년도 춘계학술대회
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• pp.127-129
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• 2012

디지털 카메라, 멀티미디어 등의 보급으로 인하여 일상생활 전반에서 영상이 사용되고 있다. 그러나 영상은 잡음에 의해 열화가 발생하고, 화질개선을 위한 잡음제거 기술의 필요성이 대두되고 있다. 잡음제거를 위한 기존의 방법들에는 워너 필터, 평균 필터, VisuShrink 등이 있지만, 미흡한 잡음제거성능을 나타낸다. 따라서 본 논문에서는 영상 잡음 제거를 위해, 위너 필터 및 변형된 웨이브렛 기반의 적응 임계값과 thresholding 함수를 이용한 하이브리드 필터 알고리즘을 제안하였다. 제안한 방법은 기존의 방법들에 비해, 저주파 특성과 고주파 특성을 동시에 나타내고, 우수한 잡음제거 및 에지보존 특성을 나타냈다.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2010년도 제34회 춘계학술대회논문집
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• pp.206-209
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• 2010

하이브리드 로켓에서의 고체 연료의 연소 현상을 가시화하기 위하여 장치를 제작하였다. 가시화 장치는 평판 하이브리드 연소기 시스템, 점화 시스템, 산화제 공급 시스템, 데이터 획득 및 제어 시스템, 연소 가시화 측정 장비로 구성되었다. GOX 산화제와 HDPE, Paraffin-LDPE Blending, Paraffin 연료를 이용하여 연소 가시화 시험을 수행하였고, 수치적으로만 연구되어 왔던 연소실 내의 연소 현상을 가시화 할 수 있었으며, 화염의 형성 및 용융성 연료의 액적 비산 현상을 관찰 할 수 있었다.

• 대한전자공학회논문지SP
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• 제48권6호
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• pp.8-17
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• 2011

최근 비행시간 (Time-of-Flight, TOF) 원리에 기반한 깊이 카메라의 등장과 함께 저해상도 깊이 카메라와 고해상도 컬러 카메라로 이루어진 복합형 카메라 시스템 (Fusion Camera System) 이 각광을 받고 있다. 복합형 카메라 시스템에서 취득한 저해상도 깊이맵을 컬러 영상과 같은 영상 평면 (Image Plane) 에 위치시키고 같은 해상도를 가질 수 있게 하려면 카메라 보정 및 3차원 투영, 홀 (Hole) 채우기와 같은 일련의 전처리 과정이 필요하다. 그러나 전처리 과정을 거친 깊이맵은 깊이 카메라의 내부 특성, 카메라 보정의 부정확성 등에 의해 많은 오차를 가진다. 그러므로 본 논문에서는 오차가 많은 상황에서도 강건하게 동작하는 깊이맵 업샘플링 방법을 제안한다. 먼저, 전처리 과정을 통해 얻은 깊이 정보의 신뢰도를 컬러 영상과의 상관관계에 기반하여 측정한다. 그리고 낮은 신뢰도의 깊이 정보를 참조하지 않는 수정된 커널 회기법 (Kernel Regression)을 통해 깊이맵과 컬러 영상의 경계 정합을 수행하여 세밀한 깊이 표현이 가능한 고해상도 깊이맵을 형성한다. 제안하는 알고리즘은 깊이 정보의 신뢰도 정의와 그에 따른 참조를 통해 카메라 보정 결과가 부정확하더라도 높은 성능의 깊이맵 생성을 보장한다. 실험결과를 통해 기존의 깊이맵 업샘플링 기술보다 제안하는 방법이 더 정확한 깊이 정보를 제공하는 것을 확인할 수 있다.

• 천문학회보
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• 제42권1호
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• pp.29.1-29.1
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• 2017

I present new near-infrared (NIR) photometry of globular cluster (GC) systems associated to a cD galaxy NGC 4874 in the core of the Coma cluster and 16 early-type galaxies in the Fornax and Virgo clusters of galaxies using the Infrared Channel of the Wide Field Camera 3 (WFC3/IR) on board the Hubble Space Telescope (HST). Combining these high-resolution NIR data with new HST Advanced Camera for Surveys (ACS) optical photometry for NGC 4874 and existing ACS GC catalogs from the ACS Fornax and Virgo Cluster Surveys, I have examined for the first time the GC systems in a statistically significant optical/NIR sample of galaxies spanning a wide range of luminosities and colors. A primary goal of this study is to explore empirically whether the distributions of purely optical and hybrid optical - NIR color indices for extragalactic GCs have different forms and whether the relations between these color indices are nonlinear, indicating that they behave differently with underlying metallicity. I find that some GC systems of large galaxies in our sample show color bimodalities that differ between the optical and optical - NIR colors, in the sense that they have disparate ratios of "blue" and "red" peak GCs, as well as differing ratios in their color dispersions. Consistent with these results, I find empirically that the dependence of hybrid optical-NIR color on purely optical color is nonlinear, with an inflection at intermediate metallicities. These findings underscore the importance of understanding the nature of galaxy-to-galaxy variations in the GC color distributions and color-color relations, as well as the exact forms of the color-metallicity transformations, in interpreting the observational data on GC color bimodality. Our ACS data for NGC 4874 shows that its GC system exhibits a very strong blue tilt, implying a very steep mass-metallicity scaling, and the centroid of this GC system is offset by $4{\pm}1kpc$ from the luminosity center of NGC 4874, in the direction of NGC 4872. Finally, I discuss the asymmetrical GC distribution around a dwarf elliptical galaxy in Coma that has a very high relative velocity with respect to the cluster mean at small clustercentric radius.

• 로봇학회논문지
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• 제6권3호
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• pp.197-209
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• 2011

This paper presents a localization system using ceiling images in a large indoor environment. For a system with low cost and complexity, we propose a single camera based system that utilizes ceiling images acquired from a camera installed to point upwards. For reliable operation, we propose a method using hybrid features which include natural landmarks in a natural scene and artificial landmarks observable in an infrared ray domain. Compared with previous works utilizing only infrared based features, our method reduces the required number of artificial features as we exploit both natural and artificial features. In addition, compared with previous works using only natural scene, our method has an advantage in the convergence speed and robustness as an observation of an artificial feature provides a crucial clue for robot pose estimation. In an experiment with challenging situations in a real environment, our method was performed impressively in terms of the robustness and accuracy. To our knowledge, our method is the first ceiling vision based localization method using features from both visible and infrared rays domains. Our system can be easily utilized with a variety of service robot applications in a large indoor environment.